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LONDON CENTER FOR ANALYTICS

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Beginner-Friendly . Live Online

8-Week Data Analytics Bootcamp

From zero to portfolio-ready using Excel, SQL, Power BI & Python — built around a real Sales, Retail, Product & Market Analytics business case.
Standard£2,200
£1,980
TODAY10% off
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Who This Is For

True Beginners
No prior coding required. We start with Excel and build up gradually.
Career Switchers
Retail, admin, operations, finance, customer service - turn experience into analytics strength.
Excel Power Users
Already use spreadsheets? Level up to SQL, Power BI and beginner-friendly Python.

What You'll Learn (8-Week Plan)

Weeks 1–2: Excel for Business Analytics

Interface, formatting, data types, tables

Sorting, filtering, lookups (VLOOKUP, XLOOKUP, Index/Match)

Pivot tables/charts, KPI analysis, conditional formatting

Power Query (clean, merge, unpivot)

Interactive dashboards (slicers, timelines)

Weeks 3–4: SQL for Analysis

Set up DB & import Excel/CSV

SELECT, WHERE, ORDER BY; date filtering

Joins, GROUP BY & aggregates; CASE WHEN

CTEs, handling NULLs; window functions

Create views, time-series rollups; export to BI

Weeks 5–6: Power BI for Insights

Data import; star schema (fact & dimensions)

DAX basics (SUM, CALCULATE, FILTER, ALL)

Time intelligence (DATEADD, TOTALYTD, SAMEPERIODLASTYEAR)

KPI cards, slicers/filters; advanced DAX & RLS

Forecasting & executive dashboard design; publish & share

Weeks 7–8: Python for Analytics & Forecasting

Jupyter setup; pandas load/clean/transform

EDA describe(), correlations, visuals (matplotlib/seaborn)

Feature engineering; train/test split

Regression models (Linear, Ridge, RandomForest)

Forecast pipeline; evaluate MAE/RMSE; plot actual vs predicted

Real Business Case: Sales, Retail, Product & Market Analytics

Objective

Run an end-to-end analysis using historical data to understand performance drivers, optimize inventory & pricing, and build forecasts across sales, retail ops, product and market.

Key KPIs

Total Revenue (pre/post discount)
Sales Growth (YoY/MoM)
Store/Branch Performance
Revenue by Region/Segment/Channel
Top/Low-Selling SKUs
Profit Margins by Product
Seasonality Trends
New Product Adoption
Order-to-Ship Lead Time
Customer Segments & CLV
On-Time Delivery Rate
Market Share
Stockout & Overstock Rates
Repeat Purchase & Retention

Analyses You'll Perform

Sales forecasting (overall, region, product)
Inventory optimization vs demand
Customer segment performance & CLV uplift
Discount impact on revenue & margins
Peak period identification
New product demand prediction
Profit margin forecasting & mix optimization

Deliverables

Excel operational reports & dashboard
Power BI executive dashboard
SQL queries (ETL + analytical views)
Python forecasting notebook & report
Management summary recommendations
This business case is executed across Excel, SQL, Power BI, and Python for multi-tool skill building and portfolio depth.

Outcomes & Next Steps

Outcomes
By Graduation

Technical Mastery

Mastery of Excel, SQL, Power BI, Python fundamentals

Portfolio Projects

1–2 portfolio projects tied to business KPIs

Presentation Skills

Confidence presenting insights & defending decisions

Where You Go Next

Career Accelerator

Move into the Accelerator (12 weeks) to build visibility, interview mastery, and earn internship opportunities

L.I.F.T.™ Program

Join the L.I.F.T.™ Program (5 months) for the full transformation

Support, Schedule & Tools

End-to-End System

Not just tools — you get skills, proof, visibility, and real-world experience in one program.

Mentors & Accountability

Weekly coaching, feedback, and metrics keep you on track.

Beginner-Friendly Setup

Excel: Microsoft 365 or 2019+

Power BI Desktop: Free download

SQL: PostgreSQL/MySQL/SQLite (guided install)

Python + Jupyter: Anaconda (guided install)

Ready to Transform Your Career?

Join the next cohort and start your analytics journey today

ENROLL NOW - SKILLS10
£2,200£1,980
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FAQ

Still Have Questions?
Get in touch with our team for personalized guidance
Email:
learn@lcfa.ai